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An agricultural robot is a robot deployed for agricultural purposes. The main area of application of robots in agriculture today is at the harvesting stage. Emerging applications of robots or drones in agriculture include weed control, [1] [2] [3] cloud seeding, [4] planting seeds, harvesting, environmental monitoring and soil analysis.
Pages in category "Agricultural robotics" The following 13 pages are in this category, out of 13 total. This list may not reflect recent changes. ...
Potential applications Related articles Agricultural robotics [1] [2] Research and development, trial projects Automation of agriculture: Agricultural drone: Closed ecological systems: Research and development, [3] [4] [5] working demonstrators (e.g. Biosphere 2) Agriculture, scientific research, space colonization
FarmBot is an open source precision agriculture CNC farming project consisting of a Cartesian coordinate robot farming machine, software and documentation including a farming data repository. [1] [2] The project aims to "Create an open and accessible technology aiding everyone to grow food and to grow food for everyone." [2]
After planting, other agricultural machinery such as self-propelled sprayers can be used to apply fertilizer and pesticides. Agriculture sprayer application is a method to protect crops from weeds by using herbicides, fungicides, and insecticides. Spraying or planting a cover crop are ways to mix weed growth. [5]
For example, autonomous crop robots can harvest and seed crops, while drones can gather information to help automate input application. [87] Precision agriculture often employs such automation technologies [87] Motorized mechanization has generally increased in recent years. [89]
Morning in America could, someday soon, be earlier than ever imagined. President-elect Donald Trump vowed to end daylight saving time, a surprising pledge that, if carried through, would ...
Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of ...